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Topic · cs 291a

cs 291a

The 10 most recent episodes and tracks on this topic.

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  1. [CS 291A 2021 Fall] Differential Privacy Lecture 13: NoisySGD (Part II) and Private Deep LearningDifferential Privacy Fall 2021Notes
  2. [CS 291A 2021 Fall] Differential Privacy Lecture 15: Propose-Test-ReleaseDifferential Privacy Fall 2021Notes
  3. [CS 291A 2021 Fall] Differential Privacy Lecture 14: Smooth SensitivityDifferential Privacy Fall 2021Notes
  4. [CS 291A 2021 Fall] Differential Privacy Lecture 12: Noisy Gradient Descent (Part II) and NoisySGDDifferential Privacy Fall 2021Notes
  5. [CS 291A 2021 Fall] Differential Privacy Lecture 11: Noisy Gradient DescentDifferential Privacy Fall 2021Notes
  6. [CS 291A 2021 Fall] Differential Privacy Lecture 10: Convex ERM and Objective PerturbationDifferential Privacy Fall 2021Notes
  7. [CS 291A 2021 Fall] Differential Privacy Lecture 9: Differentially Private Machine LearningDifferential Privacy Fall 2021Notes
  8. [CS 291A 2021 Fall] Differential Privacy Lecture 8: Privacy Accounting and autodpDifferential Privacy Fall 2021Notes
  9. [CS 291A 2021 Fall] Differential Privacy Lecture 7: Privacy Profiles and Tradeoff functionsDifferential Privacy Fall 2021Notes
  10. [CS 291A 2021 Fall] Differential Privacy Lecture 6: Gaussian Mechanism and Concentrated DPDifferential Privacy Fall 2021Notes

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